{"id":"W3088637189","doi":"10.1503/cmaj.191723","title":"Trends in socioeconomic inequalities in premature and avoidable mortality in Canada, 1991–2016","year":2020,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Work & Health; Public Health Ontario","funders":"Canadian Institutes of Health Research","keywords":"Socioeconomic status; Medicine; Demography; Confidence interval; Cohort study; Population; Census; Cohort; Inequality; Mortality rate; Environmental health; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001329993,0.0005614084,0.0006977351,0.00392666,0.002424761,0.001680795,0.00176237,0.0005445477,0.002455648],"category_scores_gemma":[0.004031424,0.0003769842,0.001320701,0.009470318,0.000654998,0.0007044798,0.001531991,0.001503577,0.000371019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04859642,"about_ca_system_score_gemma":0.07055514,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9968828,"about_ca_topic_score_gemma":0.9975611,"domain_scores_codex":[0.9980063,0.00007472909,0.0001784314,0.0003104479,0.0008600688,0.0005700411],"domain_scores_gemma":[0.9945331,0.000117454,0.0009196071,0.0001219735,0.003485294,0.0008225965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000152764,0.00002938616,0.9753525,0.0003456153,0.0003338266,0.00008125704,0.0005742973,0.0004462323,0.0001395936,0.0005011482,0.01033373,0.01170967],"study_design_scores_gemma":[0.000008081519,0.000008336162,0.996024,0.0000887123,0.0000423411,0.00003807922,0.0002262619,0.0003036153,0.00004372817,0.0000464999,0.003157155,0.00001305505],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7142774,0.0196614,0.0009085469,0.004728515,0.0002190469,0.0001884562,0.2503558,0.0001607685,0.009500002],"genre_scores_gemma":[0.9369517,0.007564877,0.001123171,0.0005436041,0.00007343424,0.0001063158,0.05077956,0.00003316411,0.002824188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04859642,"threshold_uncertainty_score":0.3525933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02146694619111676,"score_gpt":0.2868879080413888,"score_spread":0.265420961850272,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}